MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.09 GB | Duration: 11h 15m
A Practical Guide for DAS Deployment from Planning to Acceptance

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 115 Lessons (8h 53m) | Size: 2 GB
Building and Deploying Microservices from scratch

Edge Learning for Distributed Big Data Analytics - Theory, Algorithms, and System Design
pdf | 9.41 MB | English | Isbn:‎ B09M9177DB | Author: Song Guo | Year: 2022

Edge Learning for Distributed Big Data AnalyticTheory, Algorithms, and System Design | 9.41 MB
English | 231 Pages

Title: Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design
Author: Song Guo
Year: 2022

Distributed Network Data
pdf | 62.64 MB | English | Isbn:‎ B006QUTUR2 | Author: Alasdair Allan and Kipp Bradford | Year: 1996

Concurrent Real Time And Distributed Programming In Java Badr Benmammar
epub | 5.07 MB | English | Isbn:9781119482758 | Author: Badr Benmammar | Year: 2017

Edge Learning for Distributed Big Data Analytics by Song Guo
pdf | 9.41 MB | English | Isbn:‎ B09M9177DB | Author: Song Guo | Year: 2022

English | 2022 | ISBN: 1108832377 | 231 pages | PDF | 9.4 MB
Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine learning models, key challenges and issues, as well as comprehensive techniques including edge learning algorithms, and system design issues. Describes architectures, frameworks, and key technologies for learning performance, security, and privacy, as well as incentive issues in training/inference at the network edge. Intended to stimulate fruitful discussions, inspire further research ideas, and inform readers from both academia and industry backgrounds. Essential reading for experienced researchers and developers, or for those who are just entering the field.

Distributed Graph Algorithms for Computer Networks
pdf | 3.63 MB | English | Isbn:‎ B00CU4Q0YY | Author: Kayhan Erciyes | Year: 2013

Distributed Autonomous Robotic Systems: 15th International Symposium
English | 2022 | ISBN: 303092789X | 456 Pages | PDF | 56 MB
This book presents the state of the art in distributed autonomous systems composed of multiple robots, robotic modules, or robotic agents. Swarms in nature can not only adapt to their environments, but can also construct suitable habitats to their own advantage. Distributed autonomous robotic systems can do many things that its individuals cannot do alone. As the global pandemic was still ongoing, the 15th International Symposium on Distributed Autonomous Robotic Systems (DARS2021) was held on June 1-4, 2021, as an online meeting. The scope of DARS201 was to create a bridge between biologists and engineers interested in the distributed intelligence of living things and to establish a new academic field by integrating knowledge from both disciplines. Topics of DARS2021 were swarm intelligence, swarm robotics, multi-agent system, modular robotics, decentralized control, distributed system, etc. The papers in this book provide a very good overview of the state of the art in distributed autonomous robotic systems (DARS). They reflect current research themes in DARS with important contributions. We hope that this book helps to sustain the interest in DARS and triggers new research.